Generative AI Engineer (Remote) — United States

About the Role

A Y Combinator-backed biotech startup, supported by Sequoia Capital, is seeking a Senior Data Engineer to join its growing team. The company is also looking for Senior ML Engineers and Applied AI Software Engineers to develop AI models that generate scalable vector graphics. Its platform helps researchers create accurate scientific visuals more efficiently.

This role focuses on developing generative AI systems, building advanced machine learning architectures, and deploying multimodal AI pipelines. You will contribute to the development of AI-powered scientific communication tools, take ownership of technical decisions, and work with an experienced engineering and product team.

Key Responsibilities

• Design and implement advanced machine learning architectures for vector graphics generation.

• Manage the end-to-end development of generative AI systems, from prototyping to scalable deployment.

• Apply foundational model techniques to develop scientific communication tools.

• Collaborate with engineers with deep AI and product experience.

• Deploy multimodal AI pipelines and ensure reliable, production-level performance.

• Drive technical decisions and long-term planning for the machine learning platform.

• Evaluate and integrate open-source tools where appropriate.

• Participate in hackathons and in-person team events as part of the remote-first culture.

Required Qualifications

• Bachelor's degree in Computer Science or a related field.

• Demonstrated experience building and scaling generative models, including foundational models and text-to-image systems.

• Strong programming skills in Python.

• Experience with deep learning frameworks such as PyTorch or TensorFlow.

• Expertise in text-to-image technology, foundational models, or generative AI.

• Experience deploying multimodal AI systems in production environments.

• Ability to evaluate when to develop custom solutions and when to use existing tools.

• Strong ownership mindset and ability to lead model architecture decisions independently.

Preferred Qualifications

• A Master's degree or PhD from a top-tier academic institution is strongly preferred.

• Industry experience in both startup and large technology environments.

Salary & Benefits

Annual salary range: $150,000–$300,000 USD.

• Excellent benefits.

• Remote work opportunities across the USA and Canada.

• Career growth opportunities.

• Pet benefits.

• Paid time off (PTO).

• 401(k).

• Additional employee benefits.

Work Arrangement & Employment Details

• Employment Type: Full-time.

• Seniority Level: Mid-Senior level.

• Work Arrangement: Remote-first, with opportunities to participate in in-person team events.

• Eligible Locations: USA or Canada.

Equal Opportunity & Background Checks

Jobot is an Equal Opportunity Employer committed to providing an inclusive work environment. All qualified candidates receive consideration without discrimination based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.

Where required, Jobot may conduct background checks with candidate authorization. Candidates with criminal histories will be considered in accordance with applicable federal, state, and local laws, including the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.